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1. 发明授权

US07716050B2 Multilingual speech recognition 有权
标题翻译：多语言语音识别
公开(公告)号：US07716050B2
公开(公告)日：2010-05-11
申请号：US10716027
申请日：2003-11-17
申请人： Laurence S. Gillick , Thomas E. Lynch , Michael J. Newman , Daniel L. Roth , Steven A. Wegmann , Jonathan P. Yamron
发明人： Laurence S. Gillick , Thomas E. Lynch , Michael J. Newman , Daniel L. Roth , Steven A. Wegmann , Jonathan P. Yamron
IPC分类号： G10L15/00
CPC分类号： G10L15/005
摘要： A method for speech recognition. The method uses a single pronunciation estimator to train acoustic phoneme models and recognize utterances from multiple languages. The method includes accepting text spellings of training words in a plurality of sets of training words, each set corresponding to a different one of a plurality of languages. The method also includes, for each of the sets of training words in the plurality, receiving pronunciations for the training words in the set, the pronunciations being characteristic of native speakers of the language of the set, the pronunciations also being in terms of subword units at least some of which are common to two or more of the languages. The method also includes training a single pronunciation estimator using data comprising the text spellings and the pronunciations of the training words.
摘要翻译：一种语音识别方法。该方法使用单个发音估计器来训练声音音素模型并识别来自多种语言的语音。该方法包括接受多组训练词中训练词的文本拼写，每组训练单词对应于多种语言中的不同语言。该方法还包括对于多个训练词集合中的每一组，接收组中的训练单词的发音，发音是该组语言的母语者的特征，发音还以子单位其中至少有一些是两种或多种语言的共同之处。该方法还包括使用包括文本拼写和训练词的发音的数据训练单个发音估计器。

2. 发明授权

US06224636B1 Speech recognition using nonparametric speech models 失效
标题翻译：使用非参数语音模型的语音识别
公开(公告)号：US06224636B1
公开(公告)日：2001-05-01
申请号：US08807430
申请日：1997-02-28
申请人： Steven A. Wegmann , Laurence S. Gillick
发明人： Steven A. Wegmann , Laurence S. Gillick
IPC分类号： G10L1506
CPC分类号： G10L15/08
摘要： The content of a speech sample is recognized using a computer system by evaluating the speech sample against a nonparametric set of training observations, for example, utterances from one or more human speakers. The content of the speech sample is recognized based on the evaluation results. The speech recognition process also may rely on a comparison between the speech sample and a parametric model of the training observations.
摘要翻译：通过使用计算机系统来识别语音样本的内容，通过针对非参数的训练观察集合（例如来自一个或多个人类说话者的话语）评估语音样本。基于评估结果识别语音样本的内容。语音识别过程还可以依赖于语音样本与训练观察的参数模型之间的比较。

3. 发明授权

US08065144B1 Multilingual speech recognition 有权
标题翻译：多语言语音识别
公开(公告)号：US08065144B1
公开(公告)日：2011-11-22
申请号：US12699172
申请日：2010-02-03
申请人： Laurence S. Gillick , Thomas E. Lynch , Michael J. Newman , Daniel L. Roth , Steven A. Wegmann , Jonathan P. Yamron
发明人： Laurence S. Gillick , Thomas E. Lynch , Michael J. Newman , Daniel L. Roth , Steven A. Wegmann , Jonathan P. Yamron
IPC分类号： G10L15/06 , G10L15/28
CPC分类号： G10L15/005
摘要： A method for speech recognition. The method uses a single pronunciation estimator to train acoustic phoneme models and recognize utterances from multiple languages. The method includes accepting text spellings of training words in a plurality of sets of training words, each set corresponding to a different one of a plurality of languages. The method also includes, for each of the sets of training words in the plurality, receiving pronunciations for the training words in the set, the pronunciations being characteristic of native speakers of the language of the set, the pronunciations also being in terms of subword units at least some of which are common to two or more of the languages. The method also includes training a single pronunciation estimator using data comprising the text spellings and the pronunciations of the training words.
摘要翻译：一种语音识别方法。该方法使用单个发音估计器来训练声音音素模型并识别来自多种语言的语音。该方法包括接受多组训练词中训练词的文本拼写，每组训练单词对应于多种语言中的不同语言。该方法还包括对于多个训练词集合中的每一组，接收组中的训练单词的发音，发音是该组语言的母语者的特征，发音还以子单位其中至少有一些是两种或多种语言的共同之处。该方法还包括使用包括文本拼写和训练词的发音的数据训练单个发音估计器。

4. 发明授权

US07467087B1 Training and using pronunciation guessers in speech recognition 有权
标题翻译：在语音识别中训练和使用发音猜测器
公开(公告)号：US07467087B1
公开(公告)日：2008-12-16
申请号：US10684135
申请日：2003-10-10
申请人： Laurence S. Gillick , Steven A. Wegmann , Jonathan P. Yamron
发明人： Laurence S. Gillick , Steven A. Wegmann , Jonathan P. Yamron
IPC分类号： G10L13/00 , G10L15/00 , G10L15/06
CPC分类号： G10L15/063 , G10L15/26 , G10L2015/025
摘要： The error rate of a pronunciation guesser that guesses the phonetic spelling of words used in speech recognition is improved by causing its training to weigh letter-to-phoneme mappings used as data in such training as a function of the frequency of the words in which such mappings occur. Preferably the ratio of the weight to word frequency increases as word frequencies decreases. Acoustic phoneme models for use in speech recognition with phonetic spellings generated by a pronunciation guesser that makes errors are trained against word models whose phonetic spellings have been generated by a pronunciation guesser that makes similar errors. As a result, the acoustic models represent blends of phoneme sounds that reflect the spelling errors made by the pronunciation guessers. Speech recognition enabled systems are made by storing in them both a pronunciation guesser and a corresponding set of such blended acoustic models.
摘要翻译：猜测语音识别中使用的单词的拼音拼写的发音猜测器的错误率通过使其训练来衡量用作这种训练中的数据的字母到音素映射，作为其中这样的单词的频率的函数映射发生。优选地，权重与字频率的比率随着字频率的降低而增加。用于语音识别的声学音素模型，由发音猜测器产生的语音拼写用于产生错误的声音拼音针对由发音猜测器产生类似错误的语音拼写的单词模型。结果，声学模型表示声音发音的混合，反映了发音猜测者的拼写错误。通过在其中存储发音猜测器和相应的一组这样的混合声学模型来进行支持语音识别的系统。

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